Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 1460 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 102.8 KiB |
| Average record size in memory | 72.1 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 4 |
TotalBsmtSF is highly correlated with 1stFlrSF and 1 other fields | High correlation |
1stFlrSF is highly correlated with TotalBsmtSF and 2 other fields | High correlation |
GrLivArea is highly correlated with 1stFlrSF and 2 other fields | High correlation |
TotRmsAbvGrd is highly correlated with GrLivArea and 1 other fields | High correlation |
GarageArea is highly correlated with SalePrice | High correlation |
SalePrice is highly correlated with TotalBsmtSF and 4 other fields | High correlation |
TotalBsmtSF is highly correlated with 1stFlrSF and 1 other fields | High correlation |
1stFlrSF is highly correlated with TotalBsmtSF and 1 other fields | High correlation |
GrLivArea is highly correlated with TotRmsAbvGrd and 1 other fields | High correlation |
TotRmsAbvGrd is highly correlated with GrLivArea and 1 other fields | High correlation |
GarageArea is highly correlated with SalePrice | High correlation |
SalePrice is highly correlated with TotalBsmtSF and 4 other fields | High correlation |
TotalBsmtSF is highly correlated with 1stFlrSF | High correlation |
1stFlrSF is highly correlated with TotalBsmtSF | High correlation |
GrLivArea is highly correlated with SalePrice | High correlation |
SalePrice is highly correlated with GrLivArea | High correlation |
TotalBsmtSF is highly correlated with GarageArea and 4 other fields | High correlation |
GarageArea is highly correlated with TotalBsmtSF and 7 other fields | High correlation |
HouseStyle is highly correlated with TotRmsAbvGrd and 2 other fields | High correlation |
SalePrice is highly correlated with TotalBsmtSF and 9 other fields | High correlation |
FullBath is highly correlated with SalePrice and 6 other fields | High correlation |
GarageCars is highly correlated with GarageArea and 6 other fields | High correlation |
TotRmsAbvGrd is highly correlated with HouseStyle and 5 other fields | High correlation |
GrLivArea is highly correlated with TotalBsmtSF and 9 other fields | High correlation |
Neighborhood is highly correlated with GarageArea and 8 other fields | High correlation |
YearBuilt is highly correlated with GarageArea and 7 other fields | High correlation |
1stFlrSF is highly correlated with TotalBsmtSF and 5 other fields | High correlation |
OverallQual is highly correlated with TotalBsmtSF and 8 other fields | High correlation |
TotalBsmtSF has 37 (2.5%) zeros | Zeros |
GarageArea has 81 (5.5%) zeros | Zeros |
Reproduction
| Analysis started | 2021-07-31 00:51:14.484215 |
|---|---|
| Analysis finished | 2021-07-31 00:51:20.862386 |
| Duration | 6.38 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 112 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1971.267808 |
| Minimum | 1872 |
|---|---|
| Maximum | 2010 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.5 KiB |
Quantile statistics
| Minimum | 1872 |
|---|---|
| 5-th percentile | 1916 |
| Q1 | 1954 |
| median | 1973 |
| Q3 | 2000 |
| 95-th percentile | 2007 |
| Maximum | 2010 |
| Range | 138 |
| Interquartile range (IQR) | 46 |
Descriptive statistics
| Standard deviation | 30.20290404 |
|---|---|
| Coefficient of variation (CV) | 0.01532156307 |
| Kurtosis | -0.4395519416 |
| Mean | 1971.267808 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | -0.6134611725 |
| Sum | 2878051 |
| Variance | 912.2154126 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2006 | 67 | 4.6% |
| 2005 | 64 | 4.4% |
| 2004 | 54 | 3.7% |
| 2007 | 49 | 3.4% |
| 2003 | 45 | 3.1% |
| 1976 | 33 | 2.3% |
| 1977 | 32 | 2.2% |
| 1920 | 30 | 2.1% |
| 1959 | 26 | 1.8% |
| 1998 | 25 | 1.7% |
| Other values (102) | 1035 |
| Value | Count | Frequency (%) |
| 1872 | 1 | 0.1% |
| 1875 | 1 | 0.1% |
| 1880 | 4 | 0.3% |
| 1882 | 1 | 0.1% |
| 1885 | 2 | 0.1% |
| 1890 | 2 | 0.1% |
| 1892 | 2 | 0.1% |
| 1893 | 1 | 0.1% |
| 1898 | 1 | 0.1% |
| 1900 | 10 |
| Value | Count | Frequency (%) |
| 2010 | 1 | 0.1% |
| 2009 | 18 | 1.2% |
| 2008 | 23 | 1.6% |
| 2007 | 49 | |
| 2006 | 67 | |
| 2005 | 64 | |
| 2004 | 54 | |
| 2003 | 45 | |
| 2002 | 23 | 1.6% |
| 2001 | 20 | 1.4% |
| Distinct | 25 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.5 KiB |
| NAmes | |
|---|---|
| CollgCr | |
| OldTown | |
| Edwards | |
| Somerst | |
| Other values (20) |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 6.494520548 |
| Min length | 5 |
Characters and Unicode
| Total characters | 9482 |
|---|---|
| Distinct characters | 38 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | CollgCr |
|---|---|
| 2nd row | Veenker |
| 3rd row | CollgCr |
| 4th row | Crawfor |
| 5th row | NoRidge |
Common Values
| Value | Count | Frequency (%) |
| NAmes | 225 | |
| CollgCr | 150 | 10.3% |
| OldTown | 113 | 7.7% |
| Edwards | 100 | 6.8% |
| Somerst | 86 | 5.9% |
| Gilbert | 79 | 5.4% |
| NridgHt | 77 | 5.3% |
| Sawyer | 74 | 5.1% |
| NWAmes | 73 | 5.0% |
| SawyerW | 59 | 4.0% |
| Other values (15) | 424 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| names | 225 | |
| collgcr | 150 | 10.3% |
| oldtown | 113 | 7.7% |
| edwards | 100 | 6.8% |
| somerst | 86 | 5.9% |
| gilbert | 79 | 5.4% |
| nridght | 77 | 5.3% |
| sawyer | 74 | 5.1% |
| nwames | 73 | 5.0% |
| sawyerw | 59 | 4.0% |
| Other values (15) | 424 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 931 | 9.8% |
| e | 905 | 9.5% |
| l | 622 | 6.6% |
| d | 506 | 5.3% |
| s | 486 | 5.1% |
| o | 483 | 5.1% |
| m | 439 | 4.6% |
| N | 425 | 4.5% |
| w | 414 | 4.4% |
| C | 407 | 4.3% |
| Other values (28) | 3864 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 6764 | |
| Uppercase Letter | 2718 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 931 | |
| e | 905 | |
| l | 622 | |
| d | 506 | 7.5% |
| s | 486 | 7.2% |
| o | 483 | 7.1% |
| m | 439 | 6.5% |
| w | 414 | 6.1% |
| i | 351 | 5.2% |
| a | 345 | 5.1% |
| Other values (10) | 1282 |
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 425 | |
| C | 407 | |
| S | 352 | |
| A | 298 | |
| T | 188 | |
| W | 157 | 5.8% |
| O | 150 | 5.5% |
| B | 118 | 4.3% |
| R | 115 | 4.2% |
| E | 100 | 3.7% |
| Other values (8) | 408 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9482 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 931 | 9.8% |
| e | 905 | 9.5% |
| l | 622 | 6.6% |
| d | 506 | 5.3% |
| s | 486 | 5.1% |
| o | 483 | 5.1% |
| m | 439 | 4.6% |
| N | 425 | 4.5% |
| w | 414 | 4.4% |
| C | 407 | 4.3% |
| Other values (28) | 3864 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9482 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 931 | 9.8% |
| e | 905 | 9.5% |
| l | 622 | 6.6% |
| d | 506 | 5.3% |
| s | 486 | 5.1% |
| o | 483 | 5.1% |
| m | 439 | 4.6% |
| N | 425 | 4.5% |
| w | 414 | 4.4% |
| C | 407 | 4.3% |
| Other values (28) | 3864 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 2 | |
|---|---|
| 1 | |
| 3 | 33 |
| 0 | 9 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1460 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 1 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 768 | |
| 1 | 650 | |
| 3 | 33 | 2.3% |
| 0 | 9 | 0.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 768 | |
| 1 | 650 | |
| 3 | 33 | 2.3% |
| 0 | 9 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 768 | |
| 1 | 650 | |
| 3 | 33 | 2.3% |
| 0 | 9 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1460 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 768 | |
| 1 | 650 | |
| 3 | 33 | 2.3% |
| 0 | 9 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1460 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 768 | |
| 1 | 650 | |
| 3 | 33 | 2.3% |
| 0 | 9 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1460 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 768 | |
| 1 | 650 | |
| 3 | 33 | 2.3% |
| 0 | 9 | 0.6% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.5 KiB |
| 1Story | |
|---|---|
| 2Story | |
| 1.5Fin | |
| SLvl | 65 |
| SFoyer | 37 |
| Other values (3) | 33 |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.910958904 |
| Min length | 4 |
Characters and Unicode
| Total characters | 8630 |
|---|---|
| Distinct characters | 18 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2Story |
|---|---|
| 2nd row | 1Story |
| 3rd row | 2Story |
| 4th row | 2Story |
| 5th row | 2Story |
Common Values
| Value | Count | Frequency (%) |
| 1Story | 726 | |
| 2Story | 445 | |
| 1.5Fin | 154 | 10.5% |
| SLvl | 65 | 4.5% |
| SFoyer | 37 | 2.5% |
| 1.5Unf | 14 | 1.0% |
| 2.5Unf | 11 | 0.8% |
| 2.5Fin | 8 | 0.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1story | 726 | |
| 2story | 445 | |
| 1.5fin | 154 | 10.5% |
| slvl | 65 | 4.5% |
| sfoyer | 37 | 2.5% |
| 1.5unf | 14 | 1.0% |
| 2.5unf | 11 | 0.8% |
| 2.5fin | 8 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 1273 | |
| o | 1208 | |
| r | 1208 | |
| y | 1208 | |
| t | 1171 | |
| 1 | 894 | |
| 2 | 464 | 5.4% |
| F | 199 | 2.3% |
| . | 187 | 2.2% |
| 5 | 187 | 2.2% |
| Other values (8) | 631 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 5336 | |
| Uppercase Letter | 1562 | 18.1% |
| Decimal Number | 1545 | 17.9% |
| Other Punctuation | 187 | 2.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 1208 | |
| r | 1208 | |
| y | 1208 | |
| t | 1171 | |
| n | 187 | 3.5% |
| i | 162 | 3.0% |
| v | 65 | 1.2% |
| l | 65 | 1.2% |
| e | 37 | 0.7% |
| f | 25 | 0.5% |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 1273 | |
| F | 199 | 12.7% |
| L | 65 | 4.2% |
| U | 25 | 1.6% |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 894 | |
| 2 | 464 | |
| 5 | 187 | 12.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 187 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6898 | |
| Common | 1732 | 20.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| S | 1273 | |
| o | 1208 | |
| r | 1208 | |
| y | 1208 | |
| t | 1171 | |
| F | 199 | 2.9% |
| n | 187 | 2.7% |
| i | 162 | 2.3% |
| L | 65 | 0.9% |
| v | 65 | 0.9% |
| Other values (4) | 152 | 2.2% |
Common
| Value | Count | Frequency (%) |
| 1 | 894 | |
| 2 | 464 | |
| . | 187 | 10.8% |
| 5 | 187 | 10.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 8630 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| S | 1273 | |
| o | 1208 | |
| r | 1208 | |
| y | 1208 | |
| t | 1171 | |
| 1 | 894 | |
| 2 | 464 | 5.4% |
| F | 199 | 2.3% |
| . | 187 | 2.2% |
| 5 | 187 | 2.2% |
| Other values (8) | 631 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.099315068 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 5 |
| median | 6 |
| Q3 | 7 |
| 95-th percentile | 8 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.382996547 |
|---|---|
| Coefficient of variation (CV) | 0.2267462053 |
| Kurtosis | 0.09629277836 |
| Mean | 6.099315068 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.2169439278 |
| Sum | 8905 |
| Variance | 1.912679448 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 5 | 397 | |
| 6 | 374 | |
| 7 | 319 | |
| 8 | 168 | |
| 4 | 116 | 7.9% |
| 9 | 43 | 2.9% |
| 3 | 20 | 1.4% |
| 10 | 18 | 1.2% |
| 2 | 3 | 0.2% |
| 1 | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 2 | 0.1% |
| 2 | 3 | 0.2% |
| 3 | 20 | 1.4% |
| 4 | 116 | 7.9% |
| 5 | 397 | |
| 6 | 374 | |
| 7 | 319 | |
| 8 | 168 | |
| 9 | 43 | 2.9% |
| 10 | 18 | 1.2% |
| Value | Count | Frequency (%) |
| 10 | 18 | 1.2% |
| 9 | 43 | 2.9% |
| 8 | 168 | |
| 7 | 319 | |
| 6 | 374 | |
| 5 | 397 | |
| 4 | 116 | 7.9% |
| 3 | 20 | 1.4% |
| 2 | 3 | 0.2% |
| 1 | 2 | 0.1% |
TotalBsmtSF
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 721 |
|---|---|
| Distinct (%) | 49.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1057.429452 |
| Minimum | 0 |
|---|---|
| Maximum | 6110 |
| Zeros | 37 |
| Zeros (%) | 2.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 519.3 |
| Q1 | 795.75 |
| median | 991.5 |
| Q3 | 1298.25 |
| 95-th percentile | 1753 |
| Maximum | 6110 |
| Range | 6110 |
| Interquartile range (IQR) | 502.5 |
Descriptive statistics
| Standard deviation | 438.7053245 |
|---|---|
| Coefficient of variation (CV) | 0.4148790481 |
| Kurtosis | 13.25048328 |
| Mean | 1057.429452 |
| Median Absolute Deviation (MAD) | 234.5 |
| Skewness | 1.524254549 |
| Sum | 1543847 |
| Variance | 192462.3617 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 37 | 2.5% |
| 864 | 35 | 2.4% |
| 672 | 17 | 1.2% |
| 912 | 15 | 1.0% |
| 1040 | 14 | 1.0% |
| 816 | 13 | 0.9% |
| 768 | 12 | 0.8% |
| 728 | 12 | 0.8% |
| 894 | 11 | 0.8% |
| 780 | 11 | 0.8% |
| Other values (711) | 1283 |
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 105 | 1 | 0.1% |
| 190 | 1 | 0.1% |
| 264 | 3 | 0.2% |
| 270 | 1 | 0.1% |
| 290 | 1 | 0.1% |
| 319 | 1 | 0.1% |
| 360 | 1 | 0.1% |
| 372 | 1 | 0.1% |
| 384 | 7 | 0.5% |
| Value | Count | Frequency (%) |
| 6110 | 1 | |
| 3206 | 1 | |
| 3200 | 1 | |
| 3138 | 1 | |
| 3094 | 1 | |
| 2633 | 1 | |
| 2524 | 1 | |
| 2444 | 1 | |
| 2396 | 1 | |
| 2392 | 1 |
| Distinct | 753 |
|---|---|
| Distinct (%) | 51.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1162.626712 |
| Minimum | 334 |
|---|---|
| Maximum | 4692 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.5 KiB |
Quantile statistics
| Minimum | 334 |
|---|---|
| 5-th percentile | 672.95 |
| Q1 | 882 |
| median | 1087 |
| Q3 | 1391.25 |
| 95-th percentile | 1831.25 |
| Maximum | 4692 |
| Range | 4358 |
| Interquartile range (IQR) | 509.25 |
Descriptive statistics
| Standard deviation | 386.587738 |
|---|---|
| Coefficient of variation (CV) | 0.3325123481 |
| Kurtosis | 5.745841482 |
| Mean | 1162.626712 |
| Median Absolute Deviation (MAD) | 234.5 |
| Skewness | 1.376756622 |
| Sum | 1697435 |
| Variance | 149450.0792 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 864 | 25 | 1.7% |
| 1040 | 16 | 1.1% |
| 912 | 14 | 1.0% |
| 894 | 12 | 0.8% |
| 848 | 12 | 0.8% |
| 672 | 11 | 0.8% |
| 630 | 9 | 0.6% |
| 816 | 9 | 0.6% |
| 483 | 7 | 0.5% |
| 960 | 7 | 0.5% |
| Other values (743) | 1338 |
| Value | Count | Frequency (%) |
| 334 | 1 | 0.1% |
| 372 | 1 | 0.1% |
| 438 | 1 | 0.1% |
| 480 | 1 | 0.1% |
| 483 | 7 | |
| 495 | 1 | 0.1% |
| 520 | 5 | |
| 525 | 1 | 0.1% |
| 526 | 1 | 0.1% |
| 536 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 4692 | 1 | |
| 3228 | 1 | |
| 3138 | 1 | |
| 2898 | 1 | |
| 2633 | 1 | |
| 2524 | 1 | |
| 2515 | 1 | |
| 2444 | 1 | |
| 2411 | 1 | |
| 2402 | 1 |
| Distinct | 861 |
|---|---|
| Distinct (%) | 59.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1515.463699 |
| Minimum | 334 |
|---|---|
| Maximum | 5642 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.5 KiB |
Quantile statistics
| Minimum | 334 |
|---|---|
| 5-th percentile | 848 |
| Q1 | 1129.5 |
| median | 1464 |
| Q3 | 1776.75 |
| 95-th percentile | 2466.1 |
| Maximum | 5642 |
| Range | 5308 |
| Interquartile range (IQR) | 647.25 |
Descriptive statistics
| Standard deviation | 525.4803834 |
|---|---|
| Coefficient of variation (CV) | 0.3467456092 |
| Kurtosis | 4.895120581 |
| Mean | 1515.463699 |
| Median Absolute Deviation (MAD) | 326 |
| Skewness | 1.366560356 |
| Sum | 2212577 |
| Variance | 276129.6334 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 864 | 22 | 1.5% |
| 1040 | 14 | 1.0% |
| 894 | 11 | 0.8% |
| 1456 | 10 | 0.7% |
| 848 | 10 | 0.7% |
| 1200 | 9 | 0.6% |
| 912 | 9 | 0.6% |
| 816 | 8 | 0.5% |
| 1092 | 8 | 0.5% |
| 1728 | 7 | 0.5% |
| Other values (851) | 1352 |
| Value | Count | Frequency (%) |
| 334 | 1 | 0.1% |
| 438 | 1 | 0.1% |
| 480 | 1 | 0.1% |
| 520 | 1 | 0.1% |
| 605 | 1 | 0.1% |
| 616 | 1 | 0.1% |
| 630 | 6 | |
| 672 | 2 | 0.1% |
| 691 | 1 | 0.1% |
| 693 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 5642 | 1 | |
| 4676 | 1 | |
| 4476 | 1 | |
| 4316 | 1 | |
| 3627 | 1 | |
| 3608 | 1 | |
| 3493 | 1 | |
| 3447 | 1 | |
| 3395 | 1 | |
| 3279 | 1 |
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.517808219 |
| Minimum | 2 |
|---|---|
| Maximum | 14 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.5 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 5 |
| median | 6 |
| Q3 | 7 |
| 95-th percentile | 10 |
| Maximum | 14 |
| Range | 12 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.625393291 |
|---|---|
| Coefficient of variation (CV) | 0.2493772808 |
| Kurtosis | 0.8807615657 |
| Mean | 6.517808219 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.6763408364 |
| Sum | 9516 |
| Variance | 2.641903349 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 6 | 402 | |
| 7 | 329 | |
| 5 | 275 | |
| 8 | 187 | |
| 4 | 97 | 6.6% |
| 9 | 75 | 5.1% |
| 10 | 47 | 3.2% |
| 11 | 18 | 1.2% |
| 3 | 17 | 1.2% |
| 12 | 11 | 0.8% |
| Other values (2) | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 2 | 1 | 0.1% |
| 3 | 17 | 1.2% |
| 4 | 97 | 6.6% |
| 5 | 275 | |
| 6 | 402 | |
| 7 | 329 | |
| 8 | 187 | |
| 9 | 75 | 5.1% |
| 10 | 47 | 3.2% |
| 11 | 18 | 1.2% |
| Value | Count | Frequency (%) |
| 14 | 1 | 0.1% |
| 12 | 11 | 0.8% |
| 11 | 18 | 1.2% |
| 10 | 47 | 3.2% |
| 9 | 75 | 5.1% |
| 8 | 187 | |
| 7 | 329 | |
| 6 | 402 | |
| 5 | 275 | |
| 4 | 97 | 6.6% |
| Distinct | 441 |
|---|---|
| Distinct (%) | 30.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 472.980137 |
| Minimum | 0 |
|---|---|
| Maximum | 1418 |
| Zeros | 81 |
| Zeros (%) | 5.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 334.5 |
| median | 480 |
| Q3 | 576 |
| 95-th percentile | 850.1 |
| Maximum | 1418 |
| Range | 1418 |
| Interquartile range (IQR) | 241.5 |
Descriptive statistics
| Standard deviation | 213.8048415 |
|---|---|
| Coefficient of variation (CV) | 0.452037675 |
| Kurtosis | 0.9170672023 |
| Mean | 472.980137 |
| Median Absolute Deviation (MAD) | 120 |
| Skewness | 0.1799809067 |
| Sum | 690551 |
| Variance | 45712.51023 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 81 | 5.5% |
| 440 | 49 | 3.4% |
| 576 | 47 | 3.2% |
| 240 | 38 | 2.6% |
| 484 | 34 | 2.3% |
| 528 | 33 | 2.3% |
| 288 | 27 | 1.8% |
| 400 | 25 | 1.7% |
| 264 | 24 | 1.6% |
| 480 | 24 | 1.6% |
| Other values (431) | 1078 |
| Value | Count | Frequency (%) |
| 0 | 81 | |
| 160 | 2 | 0.1% |
| 164 | 1 | 0.1% |
| 180 | 9 | 0.6% |
| 186 | 1 | 0.1% |
| 189 | 1 | 0.1% |
| 192 | 1 | 0.1% |
| 198 | 1 | 0.1% |
| 200 | 4 | 0.3% |
| 205 | 3 | 0.2% |
| Value | Count | Frequency (%) |
| 1418 | 1 | |
| 1390 | 1 | |
| 1356 | 1 | |
| 1248 | 1 | |
| 1220 | 1 | |
| 1166 | 1 | |
| 1134 | 1 | |
| 1069 | 1 | |
| 1053 | 1 | |
| 1052 | 2 |
| Distinct | 663 |
|---|---|
| Distinct (%) | 45.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 180921.1959 |
| Minimum | 34900 |
|---|---|
| Maximum | 755000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.5 KiB |
Quantile statistics
| Minimum | 34900 |
|---|---|
| 5-th percentile | 88000 |
| Q1 | 129975 |
| median | 163000 |
| Q3 | 214000 |
| 95-th percentile | 326100 |
| Maximum | 755000 |
| Range | 720100 |
| Interquartile range (IQR) | 84025 |
Descriptive statistics
| Standard deviation | 79442.50288 |
|---|---|
| Coefficient of variation (CV) | 0.4391000319 |
| Kurtosis | 6.53628186 |
| Mean | 180921.1959 |
| Median Absolute Deviation (MAD) | 38000 |
| Skewness | 1.88287576 |
| Sum | 264144946 |
| Variance | 6311111264 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 140000 | 20 | 1.4% |
| 135000 | 17 | 1.2% |
| 155000 | 14 | 1.0% |
| 145000 | 14 | 1.0% |
| 190000 | 13 | 0.9% |
| 110000 | 13 | 0.9% |
| 115000 | 12 | 0.8% |
| 160000 | 12 | 0.8% |
| 130000 | 11 | 0.8% |
| 139000 | 11 | 0.8% |
| Other values (653) | 1323 |
| Value | Count | Frequency (%) |
| 34900 | 1 | |
| 35311 | 1 | |
| 37900 | 1 | |
| 39300 | 1 | |
| 40000 | 1 | |
| 52000 | 1 | |
| 52500 | 1 | |
| 55000 | 2 | |
| 55993 | 1 | |
| 58500 | 1 |
| Value | Count | Frequency (%) |
| 755000 | 1 | |
| 745000 | 1 | |
| 625000 | 1 | |
| 611657 | 1 | |
| 582933 | 1 | |
| 556581 | 1 | |
| 555000 | 1 | |
| 538000 | 1 | |
| 501837 | 1 | |
| 485000 | 1 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 2 | |
|---|---|
| 1 | |
| 3 | |
| 0 | 81 |
| 4 | 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1460 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 824 | |
| 1 | 369 | |
| 3 | 181 | 12.4% |
| 0 | 81 | 5.5% |
| 4 | 5 | 0.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 824 | |
| 1 | 369 | |
| 3 | 181 | 12.4% |
| 0 | 81 | 5.5% |
| 4 | 5 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 824 | |
| 1 | 369 | |
| 3 | 181 | 12.4% |
| 0 | 81 | 5.5% |
| 4 | 5 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1460 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 824 | |
| 1 | 369 | |
| 3 | 181 | 12.4% |
| 0 | 81 | 5.5% |
| 4 | 5 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1460 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 824 | |
| 1 | 369 | |
| 3 | 181 | 12.4% |
| 0 | 81 | 5.5% |
| 4 | 5 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1460 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 824 | |
| 1 | 369 | |
| 3 | 181 | 12.4% |
| 0 | 81 | 5.5% |
| 4 | 5 | 0.3% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| YearBuilt | Neighborhood | FullBath | HouseStyle | OverallQual | TotalBsmtSF | 1stFlrSF | GrLivArea | TotRmsAbvGrd | GarageArea | SalePrice | GarageCars | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2003 | CollgCr | 2 | 2Story | 7 | 856 | 856 | 1710 | 8 | 548 | 208500 | 2 |
| 1 | 1976 | Veenker | 2 | 1Story | 6 | 1262 | 1262 | 1262 | 6 | 460 | 181500 | 2 |
| 2 | 2001 | CollgCr | 2 | 2Story | 7 | 920 | 920 | 1786 | 6 | 608 | 223500 | 2 |
| 3 | 1915 | Crawfor | 1 | 2Story | 7 | 756 | 961 | 1717 | 7 | 642 | 140000 | 3 |
| 4 | 2000 | NoRidge | 2 | 2Story | 8 | 1145 | 1145 | 2198 | 9 | 836 | 250000 | 3 |
| 5 | 1993 | Mitchel | 1 | 1.5Fin | 5 | 796 | 796 | 1362 | 5 | 480 | 143000 | 2 |
| 6 | 2004 | Somerst | 2 | 1Story | 8 | 1686 | 1694 | 1694 | 7 | 636 | 307000 | 2 |
| 7 | 1973 | NWAmes | 2 | 2Story | 7 | 1107 | 1107 | 2090 | 7 | 484 | 200000 | 2 |
| 8 | 1931 | OldTown | 2 | 1.5Fin | 7 | 952 | 1022 | 1774 | 8 | 468 | 129900 | 2 |
| 9 | 1939 | BrkSide | 1 | 1.5Unf | 5 | 991 | 1077 | 1077 | 5 | 205 | 118000 | 1 |
Last rows
| YearBuilt | Neighborhood | FullBath | HouseStyle | OverallQual | TotalBsmtSF | 1stFlrSF | GrLivArea | TotRmsAbvGrd | GarageArea | SalePrice | GarageCars | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1450 | 1974 | NAmes | 2 | 2Story | 5 | 896 | 896 | 1792 | 8 | 0 | 136000 | 0 |
| 1451 | 2008 | Somerst | 2 | 1Story | 8 | 1573 | 1578 | 1578 | 7 | 840 | 287090 | 3 |
| 1452 | 2005 | Edwards | 1 | SLvl | 5 | 547 | 1072 | 1072 | 5 | 525 | 145000 | 2 |
| 1453 | 2006 | Mitchel | 1 | 1Story | 5 | 1140 | 1140 | 1140 | 6 | 0 | 84500 | 0 |
| 1454 | 2004 | Somerst | 2 | 1Story | 7 | 1221 | 1221 | 1221 | 6 | 400 | 185000 | 2 |
| 1455 | 1999 | Gilbert | 2 | 2Story | 6 | 953 | 953 | 1647 | 7 | 460 | 175000 | 2 |
| 1456 | 1978 | NWAmes | 2 | 1Story | 6 | 1542 | 2073 | 2073 | 7 | 500 | 210000 | 2 |
| 1457 | 1941 | Crawfor | 2 | 2Story | 7 | 1152 | 1188 | 2340 | 9 | 252 | 266500 | 1 |
| 1458 | 1950 | NAmes | 1 | 1Story | 5 | 1078 | 1078 | 1078 | 5 | 240 | 142125 | 1 |
| 1459 | 1965 | Edwards | 1 | 1Story | 5 | 1256 | 1256 | 1256 | 6 | 276 | 147500 | 1 |